Delete app.py

app.py

@@ -1,62 +0,0 @@
-# ---
-# jupyter:
-#   jupytext:
-#     text_representation:
-#       extension: .py
-#       format_name: light
-#       format_version: '1.5'
-#       jupytext_version: 1.16.4
-#   kernelspec:
-#     display_name: Python 3 (ipykernel)
-#     language: python
-#     name: python3
-# ---
-
-# +
-import streamlit as st
-import pandas as pd
-import numpy as np
-import faiss
-from sentence_transformers import SentenceTransformer
-from huggingface_hub import hf_hub_download
-import warnings
-warnings.filterwarnings('ignore')
-
-@st.cache_resource
-def load_artifacts():
-    repo_id = "PankhuriSharma9795/SHL_Model_Assets"
-
-    # Load SBERT model
-    model_dir = hf_hub_download(repo_id=repo_id, filename="sbert_model/config.json", repo_type="model")
-    model = SentenceTransformer(model_dir.replace("config.json", ""))
-
-    # Load FAISS index
-    faiss_path = hf_hub_download(repo_id=repo_id, filename="faiss_index.index", repo_type="model")
-    index = faiss.read_index(faiss_path)
-
-    # Load CSV
-    csv_path = hf_hub_download(repo_id=repo_id, filename="assessment_data.csv", repo_type="model")
-    df = pd.read_csv(csv_path)
-
-    return model, index, df
-
-def recommend_assessments(profile_text, model, index, df, top_n=10):
-    profile_embedding = model.encode([profile_text]).astype('float32')
-    _, indices = index.search(profile_embedding, top_n)
-    return df.iloc[indices[0]]
-
-# Streamlit UI
-st.title("🔍 SHL Assessment Recommender")
-
-profile = st.text_area("✍️ Enter your job role or career aspiration:", 
-                       "Looking for a leadership role in financial planning and client management")
-
-if st.button("Get Recommendations"):
-    model, index, df = load_artifacts()
-    results = recommend_assessments(profile, model, index, df, top_n=10)
-    st.subheader("🧠 Top 10 Matching Assessments")
-    st.dataframe(results[['Assesment Name', 'cleaned_text', 'Duration', 
-                          'Remote Testing Support', 'URL', 'Adaptive/IRT', 'Job Type']].reset_index(drop=True))
-# -
-
-